
AWS Cloud Data Engineer
2 days ago
Job Title:
A Senior Data Engineer for Cloud Infrastructure Development
Job Description:
As a seasoned Senior Data Engineer, you will design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
Key Responsibilities:
- Develop data processing and transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
- Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
- Collaborate with analysts and stakeholders to understand data requirements and deliver scalable data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness by leveraging AWS best practices and cloud-native technologies.
Requirements:
- Minimum 8+ years of experience building large-scale data processing pipelines in a production environment.
- Hands-on experience designing data pipelines on AWS cloud infrastructure.
- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Strong experience with Apache Spark for data processing and analytics.
- Hands-on experience orchestrating and scheduling data pipelines using AppFlow, Event Bridge, and Lambda.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
Benefits:
Experience the latest in cloud-based data engineering. Collaborate with experienced professionals and stay up-to-date with industry trends and best practices.
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